摘要
链长制政策为产业链治理提供新路径。本文利用复杂网络分析方法,构建人工智能产业链复杂网络模型,在刻画其合作创新网络演化特征的基础上,将链长制这一政策因素纳入博弈模型,并采用实证手段验证政策有效性。研究发现:人工智能产业链跨领域合作渠道较为畅通,但相较于技术层和应用层,基础层还未形成创新主体集聚、技术集中涌现的态势。产业链韧性提升的重要环节是基础层以及基础层–技术层关联环节,且高密度合作或将引致冲击产生蝴蝶效应。链长制的实施不仅是产业链韧性提升的应急机制更是长效机制,且该作用存在马太效应。本研究对提升政府治理产业链韧性的能力以及提高人工智能产业链的韧性水平提供实证参考。
The chain chief system policy provides a new path for industrial chain governance. This article makes use of the analysis method of complex networks to construct a complex network model of patent data of AI industry chain, and the policy factor of chain chief system is incorporated into the game model on the basis of describing the evolution characteristics of the cooperative innovation network, and the policy effectiveness is verified by empirical analysis. The study finds that: The cross-field cooperation channels of the artificial intelligence industry chain are relatively smooth, but the basic linkage has not yet formed a condition of innovation player agglomeration and technology concentration compared with the technology linkage and application linkage. The basic linkage and the basic-technology linkage are the target links for improving the resilience of the industrial chain, and high-density cooperation may lead to the impact of the butterfly effect. The implementation of the chain chief system is not only an emergency mechanism for improving resilience, but also a long-term mechanism, and there is a matthew effect in this role. This research provides empirical references for enhancing the capacity of government governance in improving the resilience of the artificial intelligence industry chain.
作者
李红锦
戎芳毅
李胜会
Li Hongjin;Rong Fangyi;Li Shenghui
出处
《统计研究》
北大核心
2025年第4期63-73,共11页
Statistical Research
基金
国家社会科学基金重点项目“急性冲击与慢性压力叠加下产业链韧性提升的机制与政策研究”(21AGL027)
国家社会科学基金一般项目“粤港澳大湾区新兴产业的高质量发展研究”(21BJL044)。
关键词
链长制
人工智能产业链
合作创新网络
仿真模拟
Chain Chief System
AI Industry Chain
Cooperative Innovation Networks
Simulation
